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lcra: Bayesian Joint Latent Class and Regression Models
For fitting Bayesian joint latent class and regression models using Gibbs sampling. See the documentation for the model. The technical details of the model implemented here are described in Elliott, Michael R., Zhao, Zhangchen, Mukherjee, Bhramar, Kanaya, Alka, Needham, Belinda L., "Methods to account for uncertainty in latent class assignments when using latent classes as predictors in regression models, with application to acculturation strategy measures" (2020) In press at Epidemiology <doi:10.1097/EDE.0000000000001139>.
Getting started
Browse package contents
Package details |
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| Author | Michael Elliot [aut], Zhangchen Zhao [aut], Michael Kleinsasser [aut, cre] |
| Maintainer | Michael Kleinsasser <mkleinsa@umich.edu> |
| License | GPL-2 |
| Version | 1.1.2 |
| URL | https://github.com/umich-biostatistics/lcra |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
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